Serbia and Montenegro vs Zimbabwe: Peaches and nectarines — Gross Production Value
Peaches and nectarines — Gross Production Value over time
- Serbia and Montenegro
- Zimbabwe
How they compare
Serbia and Montenegro currently reports 715,537 1000 SLC against 466,705 1000 SLC in Zimbabwe, a difference of 248,832 1000 SLC.
That makes Serbia and Montenegro's figure about 1.5 times Zimbabwe's.
Across all 12 years both countries report, Serbia and Montenegro has been ahead every year.
Serbia and Montenegro ranks 27th and Zimbabwe ranks 30th of 68 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Serbia and Montenegro | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 96,539 1000 SLC | 13.83 1000 SLC | 96,525 1000 SLC | Serbia and Montenegro |
| 2000s | 584,351 1000 SLC | 2,742 1000 SLC | 581,609 1000 SLC | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher peaches and nectarines — gross production value, Serbia and Montenegro or Zimbabwe?
- Serbia and Montenegro, at 715,537 1000 SLC against 466,705 1000 SLC in Zimbabwe as of 2005.
- What is the difference in peaches and nectarines — gross production value between Serbia and Montenegro and Zimbabwe?
- 248,832 1000 SLC, with Serbia and Montenegro ahead.
- How many years of comparable data are there for Serbia and Montenegro and Zimbabwe?
- 12 years are reported by both, from 1994 to 2005.
- How do Serbia and Montenegro and Zimbabwe rank globally for peaches and nectarines — gross production value?
- Serbia and Montenegro ranks 27th and Zimbabwe ranks 30th of 68 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Peaches and nectarines — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.